From 160eddddc4e265d5ee59a38797c30720bf46cd7c Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Sun, 27 May 2018 13:53:42 +0000
Subject: [PATCH] Minor fix
---
src/yolo_console_dll.cpp | 313 ++++++++++++++++++++++++++++------------------------
1 files changed, 168 insertions(+), 145 deletions(-)
diff --git a/src/yolo_console_dll.cpp b/src/yolo_console_dll.cpp
index b524d68..2eca267 100644
--- a/src/yolo_console_dll.cpp
+++ b/src/yolo_console_dll.cpp
@@ -11,11 +11,16 @@
#ifdef _WIN32
#define OPENCV
+#define GPU
#endif
// To use tracking - uncomment the following line. Tracking is supported only by OpenCV 3.x
//#define TRACK_OPTFLOW
+//#include "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.1\include\cuda_runtime.h"
+//#pragma comment(lib, "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.1/lib/x64/cudart.lib")
+//static std::shared_ptr<image_t> device_ptr(NULL, [](void *img) { cudaDeviceReset(); });
+
#include "yolo_v2_class.hpp" // imported functions from DLL
#ifdef OPENCV
@@ -23,161 +28,153 @@
#include "opencv2/core/version.hpp"
#ifndef CV_VERSION_EPOCH
#include "opencv2/videoio/videoio.hpp"
-#define OPENCV_VERSION CVAUX_STR(CV_VERSION_MAJOR)""CVAUX_STR(CV_VERSION_MINOR)""CVAUX_STR(CV_VERSION_REVISION)
+#define OPENCV_VERSION CVAUX_STR(CV_VERSION_MAJOR)"" CVAUX_STR(CV_VERSION_MINOR)"" CVAUX_STR(CV_VERSION_REVISION)
#pragma comment(lib, "opencv_world" OPENCV_VERSION ".lib")
+#ifdef TRACK_OPTFLOW
#pragma comment(lib, "opencv_cudaoptflow" OPENCV_VERSION ".lib")
#pragma comment(lib, "opencv_cudaimgproc" OPENCV_VERSION ".lib")
#pragma comment(lib, "opencv_core" OPENCV_VERSION ".lib")
#pragma comment(lib, "opencv_imgproc" OPENCV_VERSION ".lib")
#pragma comment(lib, "opencv_highgui" OPENCV_VERSION ".lib")
+#endif // TRACK_OPTFLOW
#else
#define OPENCV_VERSION CVAUX_STR(CV_VERSION_EPOCH)""CVAUX_STR(CV_VERSION_MAJOR)""CVAUX_STR(CV_VERSION_MINOR)
#pragma comment(lib, "opencv_core" OPENCV_VERSION ".lib")
#pragma comment(lib, "opencv_imgproc" OPENCV_VERSION ".lib")
#pragma comment(lib, "opencv_highgui" OPENCV_VERSION ".lib")
-#endif
+#endif // CV_VERSION_EPOCH
-
-cv::Scalar obj_id_to_color(int obj_id) {
- int const colors[6][3] = { { 1,0,1 },{ 0,0,1 },{ 0,1,1 },{ 0,1,0 },{ 1,1,0 },{ 1,0,0 } };
- int const offset = obj_id * 123457 % 6;
- int const color_scale = 150 + (obj_id * 123457) % 100;
- cv::Scalar color(colors[offset][0], colors[offset][1], colors[offset][2]);
- color *= color_scale;
- return color;
-}
-
-class preview_boxes_t {
- enum { frames_history = 30 }; // how long to keep the history saved
-
- struct preview_box_track_t {
- unsigned int track_id, obj_id, last_showed_frames_ago;
- bool current_detection;
- bbox_t bbox;
- cv::Mat mat_obj, mat_resized_obj;
- preview_box_track_t() : track_id(0), obj_id(0), last_showed_frames_ago(frames_history), current_detection(false){}
- };
- std::vector<preview_box_track_t> preview_box_track_id;
- size_t const preview_box_size, bottom_offset;
- bool const one_off_detections;
+class track_kalman {
public:
- preview_boxes_t(size_t _preview_box_size = 100, size_t _bottom_offset = 100, bool _one_off_detections = false) :
- preview_box_size(_preview_box_size), bottom_offset(_bottom_offset), one_off_detections(_one_off_detections)
- {}
+ cv::KalmanFilter kf;
+ int state_size, meas_size, contr_size;
- void set(cv::Mat src_mat, std::vector<bbox_t> result_vec)
+
+ track_kalman(int _state_size = 10, int _meas_size = 10, int _contr_size = 0)
+ : state_size(_state_size), meas_size(_meas_size), contr_size(_contr_size)
{
- size_t const count_preview_boxes = src_mat.cols / preview_box_size;
- if (preview_box_track_id.size() != count_preview_boxes) preview_box_track_id.resize(count_preview_boxes);
+ kf.init(state_size, meas_size, contr_size, CV_32F);
- // increment frames history
- for (auto &i : preview_box_track_id)
- i.last_showed_frames_ago = std::min((unsigned)frames_history, i.last_showed_frames_ago + 1);
+ cv::setIdentity(kf.measurementMatrix);
+ cv::setIdentity(kf.measurementNoiseCov, cv::Scalar::all(1e-1));
+ cv::setIdentity(kf.processNoiseCov, cv::Scalar::all(1e-5));
+ cv::setIdentity(kf.errorCovPost, cv::Scalar::all(1e-2));
+ cv::setIdentity(kf.transitionMatrix);
+ }
- // occupy empty boxes
- for (auto &k : result_vec) {
- bool found = false;
- // find the same (track_id)
- for (auto &i : preview_box_track_id) {
- if (i.track_id == k.track_id) {
- if (!one_off_detections) i.last_showed_frames_ago = 0; // for tracked objects
- found = true;
- break;
- }
- }
- if (!found) {
- // find empty box
- for (auto &i : preview_box_track_id) {
- if (i.last_showed_frames_ago == frames_history) {
- if (!one_off_detections && k.frames_counter == 0) break; // don't show if obj isn't tracked yet
- i.track_id = k.track_id;
- i.obj_id = k.obj_id;
- i.bbox = k;
- i.last_showed_frames_ago = 0;
- break;
- }
- }
- }
+ void set(std::vector<bbox_t> result_vec) {
+ for (size_t i = 0; i < result_vec.size() && i < state_size*2; ++i) {
+ kf.statePost.at<float>(i * 2 + 0) = result_vec[i].x;
+ kf.statePost.at<float>(i * 2 + 1) = result_vec[i].y;
}
+ }
- // draw preview box (from old or current frame)
- for (size_t i = 0; i < preview_box_track_id.size(); ++i)
- {
- // get object image
- cv::Mat dst = preview_box_track_id[i].mat_resized_obj;
- preview_box_track_id[i].current_detection = false;
+ // Kalman.correct() calculates: statePost = statePre + gain * (z(k)-measurementMatrix*statePre);
+ // corrected state (x(k)): x(k)=x'(k)+K(k)*(z(k)-H*x'(k))
+ std::vector<bbox_t> correct(std::vector<bbox_t> result_vec) {
+ cv::Mat measurement(meas_size, 1, CV_32F);
+ for (size_t i = 0; i < result_vec.size() && i < meas_size * 2; ++i) {
+ measurement.at<float>(i * 2 + 0) = result_vec[i].x;
+ measurement.at<float>(i * 2 + 1) = result_vec[i].y;
+ }
+ cv::Mat estimated = kf.correct(measurement);
+ for (size_t i = 0; i < result_vec.size() && i < meas_size * 2; ++i) {
+ result_vec[i].x = estimated.at<float>(i * 2 + 0);
+ result_vec[i].y = estimated.at<float>(i * 2 + 1);
+ }
+ return result_vec;
+ }
- for (auto &k : result_vec) {
- if (preview_box_track_id[i].track_id == k.track_id) {
- if (one_off_detections && preview_box_track_id[i].last_showed_frames_ago > 0) {
- preview_box_track_id[i].last_showed_frames_ago = frames_history; break;
+ // Kalman.predict() calculates: statePre = TransitionMatrix * statePost;
+ // predicted state (x'(k)): x(k)=A*x(k-1)+B*u(k)
+ std::vector<bbox_t> predict() {
+ std::vector<bbox_t> result_vec;
+ cv::Mat control;
+ cv::Mat prediction = kf.predict(control);
+ for (size_t i = 0; i < prediction.rows && i < state_size * 2; ++i) {
+ result_vec[i].x = prediction.at<float>(i * 2 + 0);
+ result_vec[i].y = prediction.at<float>(i * 2 + 1);
+ }
+ return result_vec;
+ }
+
+};
+
+
+
+
+class extrapolate_coords_t {
+public:
+ std::vector<bbox_t> old_result_vec;
+ std::vector<float> dx_vec, dy_vec, time_vec;
+ std::vector<float> old_dx_vec, old_dy_vec;
+
+ void new_result(std::vector<bbox_t> new_result_vec, float new_time) {
+ old_dx_vec = dx_vec;
+ old_dy_vec = dy_vec;
+ if (old_dx_vec.size() != old_result_vec.size()) std::cout << "old_dx != old_res \n";
+ dx_vec = std::vector<float>(new_result_vec.size(), 0);
+ dy_vec = std::vector<float>(new_result_vec.size(), 0);
+ update_result(new_result_vec, new_time, false);
+ old_result_vec = new_result_vec;
+ time_vec = std::vector<float>(new_result_vec.size(), new_time);
+ }
+
+ void update_result(std::vector<bbox_t> new_result_vec, float new_time, bool update = true) {
+ for (size_t i = 0; i < new_result_vec.size(); ++i) {
+ for (size_t k = 0; k < old_result_vec.size(); ++k) {
+ if (old_result_vec[k].track_id == new_result_vec[i].track_id && old_result_vec[k].obj_id == new_result_vec[i].obj_id) {
+ float const delta_time = new_time - time_vec[k];
+ if (abs(delta_time) < 1) break;
+ size_t index = (update) ? k : i;
+ float dx = ((float)new_result_vec[i].x - (float)old_result_vec[k].x) / delta_time;
+ float dy = ((float)new_result_vec[i].y - (float)old_result_vec[k].y) / delta_time;
+ float old_dx = dx, old_dy = dy;
+
+ // if it's shaking
+ if (update) {
+ if (dx * dx_vec[i] < 0) dx = dx / 2;
+ if (dy * dy_vec[i] < 0) dy = dy / 2;
+ } else {
+ if (dx * old_dx_vec[k] < 0) dx = dx / 2;
+ if (dy * old_dy_vec[k] < 0) dy = dy / 2;
}
- bbox_t b = k;
- cv::Rect r(b.x, b.y, b.w, b.h);
- cv::Rect img_rect(cv::Point2i(0, 0), src_mat.size());
- cv::Rect rect_roi = r & img_rect;
- if (rect_roi.width > 1 || rect_roi.height > 1) {
- cv::Mat roi = src_mat(rect_roi);
- cv::resize(roi, dst, cv::Size(preview_box_size, preview_box_size));
- preview_box_track_id[i].mat_obj = roi.clone();
- preview_box_track_id[i].mat_resized_obj = dst.clone();
- preview_box_track_id[i].current_detection = true;
- preview_box_track_id[i].bbox = k;
+ dx_vec[index] = dx;
+ dy_vec[index] = dy;
+
+ //if (old_dx == dx && old_dy == dy) std::cout << "not shakin \n";
+ //else std::cout << "shakin \n";
+
+ if (dx_vec[index] > 1000 || dy_vec[index] > 1000) {
+ //std::cout << "!!! bad dx or dy, dx = " << dx_vec[index] << ", dy = " << dy_vec[index] <<
+ // ", delta_time = " << delta_time << ", update = " << update << std::endl;
+ dx_vec[index] = 0;
+ dy_vec[index] = 0;
}
+ old_result_vec[k].x = new_result_vec[i].x;
+ old_result_vec[k].y = new_result_vec[i].y;
+ time_vec[k] = new_time;
break;
}
}
}
}
-
- void draw(cv::Mat draw_mat, bool show_small_boxes = false)
- {
- // draw preview box (from old or current frame)
- for (size_t i = 0; i < preview_box_track_id.size(); ++i)
- {
- auto &prev_box = preview_box_track_id[i];
-
- // draw object image
- cv::Mat dst = prev_box.mat_resized_obj;
- if (prev_box.last_showed_frames_ago < frames_history &&
- dst.size() == cv::Size(preview_box_size, preview_box_size))
- {
- cv::Rect dst_rect_roi(cv::Point2i(i * preview_box_size, draw_mat.rows - bottom_offset), dst.size());
- cv::Mat dst_roi = draw_mat(dst_rect_roi);
- dst.copyTo(dst_roi);
-
- cv::Scalar color = obj_id_to_color(prev_box.obj_id);
- int thickness = (prev_box.current_detection) ? 5 : 1;
- cv::rectangle(draw_mat, dst_rect_roi, color, thickness);
-
- unsigned int const track_id = prev_box.track_id;
- std::string track_id_str = (track_id > 0)? std::to_string(track_id):"";
- putText(draw_mat, track_id_str, dst_rect_roi.tl() - cv::Point2i(0, 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.0, cv::Scalar(0, 0, 0), 2);
-
- std::string size_str = std::to_string(prev_box.bbox.w) + "x" + std::to_string(prev_box.bbox.h);
- putText(draw_mat, size_str, dst_rect_roi.tl() + cv::Point2i(0, 12), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.8, cv::Scalar(0, 0, 0), 1);
-
- if (!one_off_detections && prev_box.current_detection) {
- cv::line(draw_mat, dst_rect_roi.tl() + cv::Point2i(preview_box_size, 0),
- cv::Point2i(prev_box.bbox.x, prev_box.bbox.y + prev_box.bbox.h),
- color);
- }
-
- if (one_off_detections && show_small_boxes) {
- cv::Rect src_rect_roi(cv::Point2i(prev_box.bbox.x, prev_box.bbox.y),
- cv::Size(prev_box.bbox.w, prev_box.bbox.h));
- unsigned int const color_history = (255 * prev_box.last_showed_frames_ago) / frames_history;
- color = cv::Scalar(255 - 3* color_history, 255 - 2 * color_history, 255 - 1 * color_history);
- if (prev_box.mat_obj.size() == src_rect_roi.size()) {
- prev_box.mat_obj.copyTo(draw_mat(src_rect_roi));
- }
- cv::rectangle(draw_mat, src_rect_roi, color, thickness);
- putText(draw_mat, track_id_str, src_rect_roi.tl() - cv::Point2i(0, 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.8, cv::Scalar(0, 0, 0), 1);
- }
- }
+ std::vector<bbox_t> predict(float cur_time) {
+ std::vector<bbox_t> result_vec = old_result_vec;
+ for (size_t i = 0; i < old_result_vec.size(); ++i) {
+ float const delta_time = cur_time - time_vec[i];
+ auto &bbox = result_vec[i];
+ float new_x = (float) bbox.x + dx_vec[i] * delta_time;
+ float new_y = (float) bbox.y + dy_vec[i] * delta_time;
+ if (new_x > 0) bbox.x = new_x;
+ else bbox.x = 0;
+ if (new_y > 0) bbox.y = new_y;
+ else bbox.y = 0;
}
+ return result_vec;
}
+
};
@@ -188,13 +185,13 @@
for (auto &i : result_vec) {
cv::Scalar color = obj_id_to_color(i.obj_id);
- cv::rectangle(mat_img, cv::Rect(i.x, i.y, i.w, i.h), color, 5);
+ cv::rectangle(mat_img, cv::Rect(i.x, i.y, i.w, i.h), color, 2);
if (obj_names.size() > i.obj_id) {
std::string obj_name = obj_names[i.obj_id];
if (i.track_id > 0) obj_name += " - " + std::to_string(i.track_id);
cv::Size const text_size = getTextSize(obj_name, cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, 2, 0);
int const max_width = (text_size.width > i.w + 2) ? text_size.width : (i.w + 2);
- cv::rectangle(mat_img, cv::Point2f(std::max((int)i.x - 3, 0), std::max((int)i.y - 30, 0)),
+ cv::rectangle(mat_img, cv::Point2f(std::max((int)i.x - 1, 0), std::max((int)i.y - 30, 0)),
cv::Point2f(std::min((int)i.x + max_width, mat_img.cols-1), std::min((int)i.y, mat_img.rows-1)),
color, CV_FILLED, 8, 0);
putText(mat_img, obj_name, cv::Point2f(i.x, i.y - 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, cv::Scalar(0, 0, 0), 2);
@@ -229,9 +226,9 @@
int main(int argc, char *argv[])
{
- std::string names_file = "data/voc.names";
- std::string cfg_file = "cfg/yolo-voc.cfg";
- std::string weights_file = "yolo-voc.weights";
+ std::string names_file = "data/coco.names";
+ std::string cfg_file = "cfg/yolov3.cfg";
+ std::string weights_file = "yolov3.weights";
std::string filename;
if (argc > 4) { //voc.names yolo-voc.cfg yolo-voc.weights test.mp4
@@ -248,7 +245,7 @@
auto obj_names = objects_names_from_file(names_file);
std::string out_videofile = "result.avi";
- bool const save_output_videofile = false;
+ bool const save_output_videofile = true;
#ifdef TRACK_OPTFLOW
Tracker_optflow tracker_flow;
detector.wait_stream = true;
@@ -262,6 +259,9 @@
try {
#ifdef OPENCV
+ extrapolate_coords_t extrapolate_coords;
+ bool extrapolate_flag = false;
+ float cur_time_extrapolate = 0, old_time_extrapolate = 0;
preview_boxes_t large_preview(100, 150, false), small_preview(50, 50, true);
bool show_small_boxes = false;
@@ -277,6 +277,7 @@
std::vector<bbox_t> result_vec, thread_result_vec;
detector.nms = 0.02; // comment it - if track_id is not required
std::atomic<bool> consumed, videowrite_ready;
+ bool exit_flag = false;
consumed = true;
videowrite_ready = true;
std::atomic<int> fps_det_counter, fps_cap_counter;
@@ -303,13 +304,13 @@
cur_frame = cap_frame.clone();
}
t_cap = std::thread([&]() { cap >> cap_frame; });
+ ++cur_time_extrapolate;
// swap result bouned-boxes and input-frame
if(consumed)
{
std::unique_lock<std::mutex> lock(mtx);
det_image = detector.mat_to_image_resize(cur_frame);
- //auto old_result_vec = result_vec;
auto old_result_vec = detector.tracking_id(result_vec);
auto detected_result_vec = thread_result_vec;
result_vec = detected_result_vec;
@@ -322,18 +323,23 @@
while (track_optflow_queue.size() > 1) {
track_optflow_queue.pop();
- result_vec = tracker_flow.tracking_flow(track_optflow_queue.front(), false);
+ result_vec = tracker_flow.tracking_flow(track_optflow_queue.front(), true);
}
track_optflow_queue.pop();
passed_flow_frames = 0;
result_vec = detector.tracking_id(result_vec);
- auto tmp_result_vec = detector.tracking_id(detected_result_vec);
+ auto tmp_result_vec = detector.tracking_id(detected_result_vec, false);
small_preview.set(first_frame, tmp_result_vec);
- }
-#endif
- result_vec = detector.tracking_id(result_vec); // comment it - if track_id is not required
+ extrapolate_coords.new_result(tmp_result_vec, old_time_extrapolate);
+ old_time_extrapolate = cur_time_extrapolate;
+ extrapolate_coords.update_result(result_vec, cur_time_extrapolate - 1);
+ }
+#else
+ result_vec = detector.tracking_id(result_vec); // comment it - if track_id is not required
+ extrapolate_coords.new_result(result_vec, cur_time_extrapolate - 1);
+#endif
// add old tracked objects
for (auto &i : old_result_vec) {
auto it = std::find_if(result_vec.begin(), result_vec.end(),
@@ -349,7 +355,7 @@
}
#ifdef TRACK_OPTFLOW
tracker_flow.update_cur_bbox_vec(result_vec);
- result_vec = tracker_flow.tracking_flow(cur_frame, false); // track optical flow
+ result_vec = tracker_flow.tracking_flow(cur_frame, true); // track optical flow
#endif
consumed = false;
cv_pre_tracked.notify_all();
@@ -359,15 +365,16 @@
t_detect = std::thread([&]() {
auto current_image = det_image;
consumed = true;
- while (current_image.use_count() > 0) {
- auto result = detector.detect_resized(*current_image, frame_size, thresh, false); // true
+ while (current_image.use_count() > 0 && !exit_flag) {
+ auto result = detector.detect_resized(*current_image, frame_size.width, frame_size.height,
+ thresh, false); // true
++fps_det_counter;
std::unique_lock<std::mutex> lock(mtx);
thread_result_vec = result;
consumed = true;
cv_detected.notify_all();
if (detector.wait_stream) {
- while (consumed) cv_pre_tracked.wait(lock);
+ while (consumed && !exit_flag) cv_pre_tracked.wait(lock);
}
current_image = det_image;
}
@@ -390,16 +397,24 @@
++passed_flow_frames;
track_optflow_queue.push(cur_frame.clone());
result_vec = tracker_flow.tracking_flow(cur_frame); // track optical flow
+ extrapolate_coords.update_result(result_vec, cur_time_extrapolate);
small_preview.draw(cur_frame, show_small_boxes);
#endif
-
- draw_boxes(cur_frame, result_vec, obj_names, current_det_fps, current_cap_fps);
+ auto result_vec_draw = result_vec;
+ if (extrapolate_flag) {
+ result_vec_draw = extrapolate_coords.predict(cur_time_extrapolate);
+ cv::putText(cur_frame, "extrapolate", cv::Point2f(10, 40), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.0, cv::Scalar(50, 50, 0), 2);
+ }
+ draw_boxes(cur_frame, result_vec_draw, obj_names, current_det_fps, current_cap_fps);
//show_console_result(result_vec, obj_names);
large_preview.draw(cur_frame);
cv::imshow("window name", cur_frame);
int key = cv::waitKey(3); // 3 or 16ms
if (key == 'f') show_small_boxes = !show_small_boxes;
+ if (key == 'p') while (true) if(cv::waitKey(100) == 'p') break;
+ if (key == 'e') extrapolate_flag = !extrapolate_flag;
+ if (key == 27) { exit_flag = true; break; }
if (output_video.isOpened() && videowrite_ready) {
if (t_videowrite.joinable()) t_videowrite.join();
@@ -419,10 +434,12 @@
}
#endif
}
+ exit_flag = true;
if (t_cap.joinable()) t_cap.join();
if (t_detect.joinable()) t_detect.join();
if (t_videowrite.joinable()) t_videowrite.join();
std::cout << "Video ended \n";
+ break;
}
else if (file_ext == "txt") { // list of image files
std::ifstream file(filename);
@@ -440,12 +457,18 @@
}
else { // image file
cv::Mat mat_img = cv::imread(filename);
+
+ auto start = std::chrono::steady_clock::now();
std::vector<bbox_t> result_vec = detector.detect(mat_img);
- result_vec = detector.tracking_id(result_vec); // comment it - if track_id is not required
+ auto end = std::chrono::steady_clock::now();
+ std::chrono::duration<double> spent = end - start;
+ std::cout << " Time: " << spent.count() << " sec \n";
+
+ //result_vec = detector.tracking_id(result_vec); // comment it - if track_id is not required
draw_boxes(mat_img, result_vec, obj_names);
cv::imshow("window name", mat_img);
- cv::waitKey(3); // 3 or 16ms
show_console_result(result_vec, obj_names);
+ cv::waitKey(0);
}
#else
//std::vector<bbox_t> result_vec = detector.detect(filename);
--
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